Interesting discussion, I never realized that we are using two interpretations for this same word
depending on the context!
My 2 cents:
In my favorite linear algebra book:
F. R. Gantmacher, The theory of matrices. (1959)
The adjoint of a matrix is defined 2 times with the two meanings!!! (at least in the french
translation of the book, originally in Russian).
Clément
Jason Grout a écrit :
On 12/3/10 1:05 AM, Rob Beezer wrote:
On Dec 2, 10:55 pm, Dima Pasechnik<dimp...@gmail.com> wrote:
But for "conjugate transpose" one can just introduce operator ^*, as
usually
the conjugate transpose of $A$ is denoted by $A^*$.
Accepted notation is another can of worms. Conjugate-transpose can be
an exponent that is a star, dagger or the letter H. And sometimes a *
just means complex conjugation.
In numpy, the conjugate transpose is A.H, the transpose is A.T, and the
inverse is A.I. I'd love if we adopted those shortcuts (as properties
that return new matrices, not functions).
Jason
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